Abstract
One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i.e. parcellation. While it is generally agreed that at macro-scale different regions of the cortex have different functions, the exact number and configuration of these regions is not known. Methods for the discovery of these regions are thus important, particularly as the volume of available information grows. Towards this end, we present a parcellation method based on a Bayesian non-parametric mixture model of cortical connectivity.
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Notes
- 1.
It is important to make the distinction between physical fascicles and recovered tracts. Here, we define the latter to be the reconstructed tractography.
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Acknowledgements
This work was supported by NIH Grant U54 EB020403, as well as the NSF Graduate Research Fellowship Program. The authors would like to thank the reviewers as well as Greg Ver Steeg for multiple helpful conversations.
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Moyer, D., Gutman, B.A., Jahanshad, N., Thompson, P.M. (2017). A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex. In: Niethammer, M., et al. Information Processing in Medical Imaging. IPMI 2017. Lecture Notes in Computer Science(), vol 10265. Springer, Cham. https://doi.org/10.1007/978-3-319-59050-9_27
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